高级 AI 平台工程师
Senior AI Platform Engineer
加入 Hire Hangar，与快速发展的全球公司合作，同时建立长期的职业生涯。
职位名称 高级 AI 平台工程师
地点 远程办公
时区 美国时区（PST - EST）
职位概述 该职位位于 AI 工程与平台开发的交汇点。作为高级 AI 平台工程师，你将负责支撑我们 AI 代理人的上下文智能层——确保它们在我们的 SaaS 生态系统中精准地理解、推理并执行操作。
你将处于结构化知识如何让 AI 代理人更智能、更可靠的最前沿。这是一个适合深入思考上下文、意义以及如何让机器做出更好决策的工程师——同时也能够构建让用户可以访问这些能力的前端界面。
主要职责
- 设计和维护语义上下文层——知识图谱、本体论和结构化上下文存储，以指导代理行为
- 开发全栈功能，使用户可以通过直观的界面配置、监控和控制 AI 代理人
- 将 RPA 代理与语义推理能力集成，实现可扩展的上下文感知自动化
- 构建和维护数据平台前端，提供对代理活动和数据流的实时可视化
- 与产品和数据科学团队紧密合作，将业务需求转化为智能自动化解决方案
- 通过测试、文档和架构一致性来推动工程品质
所需资格
- 高级全栈工程经验
- 对语义技术有深入了解——知识图谱、RDF/OWL、本体论或实体解析
- 有构建或使用 AI 代理框架的实际经验
- 强大的前端技能，使用 React 或类似技术，包括数据可视化库如 D3.js 或 Recharts
- 使用 Python 后端和 ML 服务集成的经验
- 在快速发展的 SaaS 产品环境中工作的舒适度
- 必须有远程工作经验，并能展示跨分布式团队异步协作的能力
优先资格
- 使用图数据库如 Neo4j 或 Amazon Neptune 的经验
- 接触过 NLP 流程和命名实体识别（NER）
- 对开源 AI 或语义工具的贡献
- 使用企业级知识管理系统的经验
工具与技术
- Python / Node.
查看英文原文
Join Hire Hangar and work with fast-growing global companies while building a long-term career.
Job Title Senior AI Platform Engineer
Location Remote
Time Zone US Time Zone (PST - EST)
Role Overview This role sits at the intersection of AI engineering and platform development. As a Senior AI Platform Engineer, you will own the contextual intelligence layer that powers our AI agents — ensuring they understand, reason, and act with precision across our SaaS ecosystem.
You will work at the cutting edge of how structured knowledge is used to make AI agents smarter and more reliable. This is a role for an engineer who thinks deeply about context, meaning, and how machines can be equipped to make better decisions — and who can also build the frontend surfaces that make those capabilities accessible to end users.
Key Responsibilities
- Design and maintain semantic context layers — knowledge graphs, ontologies, and structured context stores — that inform agent behaviour
- Develop full stack features that allow users to configure, monitor, and control AI agents through intuitive interfaces
- Integrate RPA agents with semantic reasoning capabilities, enabling context-aware automation at scale
- Build and maintain data platform frontends that provide real-time visibility into agent activity and data flows
- Work closely with product and data science teams to translate business requirements into intelligent automation solutions
- Champion engineering quality through testing, documentation, and architectural consistency
Required Qualifications
- Senior-level full stack engineering experience
- Deep understanding of semantic technologies — knowledge graphs, RDF/OWL, ontologies, or entity resolution
- Hands-on experience building or consuming AI agent frameworks
- Strong frontend skills with React or similar, including data visualisation libraries such as D3.js or Recharts
- Experience with Python-based backends and ML service integration
- Comfort working in fast-moving SaaS product environments
- Must have prior remote work experience and demonstrated ability to collaborate asynchronously across distributed teams
Preferred Qualifications
- Experience with graph databases such as Neo4j or Amazon Neptune
- Exposure to NLP pipelines and named entity recognition (NER)
- Contributions to open-source AI or semantic tooling
- Experience with enterprise-scale knowledge management systems
Tools & Technology
- Python / Node.js
- React / TypeScript
- Graph or semantic databases (Neo4j, Amazon Neptune, or similar)
- LLM APIs and agent orchestration frameworks
- Data visualisation tooling (D3.js, Recharts, or similar)
- Slack, Zoom, Google Workspace
Please Note It is crucial that you complete the application form in full. As part of the application process, you will be required to complete a short technical assessment. If your application is successful, you will receive an email confirming next steps. Applications that are not completed in full will not be considered for any open roles.
We connect top talent with vetted employers, competitive pay, and real growth opportunities.